Exploratory framework for analysing road traffic accident data with validation on Gauteng province data

Exploratory framework for analysing road traffic accident data with validation on Gauteng province data

Exploratory data analysis (EDA) is often a necessary task in uncovering hidden patterns, detecting outliers, and identifying important variables and any anomalies in data. Furthermore, the approach can be used to gain insights by modelling the dataset through graphical representations. In this paper...

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Bibliographic Details
Main Authors: Tebogo Makaba, Wesley Doorsamy, Babu Sena Paul
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Cogent Engineering
Subjects:
exploratory data analysis
key statistical
dimensionality reduction
machine learning
road traffic accidents
Online Access:http://dx.doi.org/10.1080/23311916.2020.1834659

Internet

http://dx.doi.org/10.1080/23311916.2020.1834659

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